Claude
b21385ec4a
Progress is kept in memory while a show runs and written once, as a complete report, when the operator finishes the run. The stored history therefore never contains a partial run. - Nothing writes on the cue path. triggerReportEntry only updates memory, so the sidecar is untouched between the first event and finish. - Removes the write coalescing added for the previous model: with a single write per run there is nothing to debounce, so the timer, the dirty flag, the flush export and the shutdown hook all go, and app.ts returns to its previous state. - ShowRun.endedAt is no longer nullable. A stored run is finished by definition, so recovery of runs left open by a crash is gone along with the concept, and the run list drops its ongoing state. - Adds GET /report/runs/open for the editor indicator. /runs now means finished reports only, which is also the contract Cloud sees. - A run whose rundown was deleted before it finished now reports the events that actually ran as its planned count, rather than zero. Known gap: RestorePoint carries playback state only, so a crash mid show loses the in progress report. The stored history is unaffected. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_019nr3FbLbM8gB8Jm771YgTV
Download the latest release
- Download for Windows
- Download for macOS (Apple Silicon)
- Download for macOS (Intel)
- Download AppImage for Linux (Intel / AMD 64-bit)
- Download AppImage for Linux (ARM 64-bit, Raspberry Pi 4+)
- Download AppImage for Linux (ARM 32-bit, older Raspberry Pi)
... or
- Get from Docker hub
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Need help?
We do our best to have most topics covered by the documentation. However, if your question is not covered, you are welcome to fill in a bug report in an issue, ask a question in GitHub discussions or hop in the discord server for a chat.
Using Ontime?
Let us know! Ontime improves from the collaboration with its users. We would like to understand how you use Ontime and appreciate your feedback.
Ontime
Ontime is a browser-based application that manages event rundowns, scheduling, and cueing.
With Ontime, you can plan, track your schedule, manage automation and cross-department show information all in one place.
Ontime is made by entertainment and broadcast engineers and used by
- Conference organisers
- Touring shows and receiving venues
- Broadcasters and streamers
- Theatres and opera houses
- Houses of worship
Main features
- Multiplatform: Available as a Cloud service and for Windows, macOS, Linux, or self-hosted via Docker.
- In any device: Ontime is available to any device with a browser, eg: tablets, mobile phones, laptops, signage, media servers...
- Team Collaboration: Dedicated views for directors, operators, backstage, and signage.
- Real-Time Updates: Manage and communicate runtime delays effortlessly.
- Automatable: Ontime can be fully or partially controlled by an operator, or run standalone with the system clock
- Flexible Integrations: Use one of the APIs provided (OSC, HTTP, Websocket) or the available Companion module to integrate into your workflow (vMix, disguise, Qlab, OBS)
... and a lot more ...
For live environments
Ontime is designed for use in live environments.
This guides the application into being flexible and efficiently integrating into different workflows.
For teams
All information added in Ontime is shared with the production team and other software / hardware in your workflow.
Ontime also improves team collaboration with dedicated views for cuesheets and operators, and for public and production
signage.
Simple infrastructure
All the data is distributed over the network, making its distribution and infrastructure flexible and cheap.
With the availability of the docker image, you can also leverage IT infrastructure to make Ontime available online for
your team and clients.
Ontime is made by video engineers and entertainment technicians.
Using Ontime
Getting started
The easiest way to start with Ontime is by leveraging our Cloud service.
This will give you immediate access to running instances of Ontime which are available to share with anyone with an internet connection.
Alternatively, you can run Ontime locally for free by downloading the latest release for your platform or using the docker image, available at Docker Hub
Once installed and running, any device that shares the same network as Ontime will have access to Ontime.
More information is available in our docs
Continued development
Ontime is under active development. We continue adding and improving features in collaboration with users.
Have an idea? Reach out via email or open an issue
Issues
We use Github's issue tracking for bug reporting and feature requests.
Found a bug? Open an issue.
Contributing
Looking to contribute? All types of help are appreciated, from coding to testing and feature specification.
If you are a developer and would like to contribute with code, please open an issue to discuss before opening a Pull Request.
Information about the project setup can be found in the development documentation
Links
License
This project is licensed under the terms of the GNU GPL v3
Sponsor
You can help the development of this project or say thank you with a one time donation.
See the terms of donations.